Page 187 - 《应用声学》2023年第6期

第 42 卷 第 6 期 Vol. 42, No. 6
2023 年 11 月 Journal of Applied Acoustics November, 2023

⋄ 研究报告 ⋄

近岸4种鱼的声散射特征提取及融合实验研究 ∗

王永贤 司纪锋 † 王耀宾 刘伟涛 慈国庆 王志民 徐小亮

(中国科学院声学研究所北海研究站 青岛 266114)
摘要：为了有效地提取表征鱼类间差异的声散射特征参数，该文通过绳系法实验研究了近岸 4 种经济鱼类的
声散射信号特征提取及融合方法。首先，通过自研双频鱼探仪采集花鲈、许氏平鲉、黑鲷和斑石鲷的个体鱼声
散射信号；然后，分别测定 200 kHz 和 450 kHz 换能器下鱼体的目标强度，同时提取鱼声散射信号的时频域统
计特征；最后，将降维后的时频特征与频差特征融合组成新的特征向量。该文通过实验验证了该方法的有效
性，基于组合特征的支持向量机识别准确率达 93%。结果表明，鱼的频率响应特性和鱼声散射信号的时频域统
计特征能一定程度上反映鱼的固有属性，有效地增加判别依据能显著提高以上 4 种鱼类的识别准确率。
关键词：渔业声学；目标强度；声散射
中图法分类号: TN911.7 文献标识码: A 文章编号: 1000-310X(2023)06-1297-08
DOI: 10.11684/j.issn.1000-310X.2023.06.023

Experimental study on acoustic scattering feature extraction and fusion of
four inshore fishes

WANG Yongxian SI Jifeng WANG Yaobin LIU Weitao
CI Guoqing WANG Zhimin XU Xiaoliang

(Qingdao Branch, Institute of Acoustics, Chinese Academy of Sciences, Qingdao 266114, China)

Abstract: In order to effectively extract acoustic scattering characteristic parameters that can characterize the
differences between fish species, this paper studied the acoustic scattering signal feature extraction and fusion
method of four economic fish species near shore by tether experiment. Firstly, the acoustic scattering signal
of individual fish (Lateolabrax maculatus, Sebastes schlegelii, Acanthopagrus schlegelii, Oplegnathus punctatus)
were collected by self-developed dual-frequency fish detector. Then, the target strength of fish under 200 kHz
and 450 kHz transducers was measured respectively. Meanwhile, the time and frequency domain statistical
characteristics of fish acoustic scattering signals were extracted. Finally, a new feature vector is composed of the
frequency difference response features and the time-frequency domain statistical features after dimensionality
reduction. The effectiveness of the proposed method is verified by experiments, and the recognition accuracy
of the support vector machine classifier based on combinatorial features reaches 93%. The results show that,
the frequency response characteristics of fish and the time and frequency domain statistical characteristics of
fish acoustic scattering signal can reflect the inherent attributes of fish to a certain extent, effective addition of
discrimination basis can significantly improve the identification accuracy of the above four species of fish.
Keywords: Fishery acoustics; Target strength; Acoustic scattering

2022-07-21 收稿; 2023-06-05 定稿
国家重点研发计划项目 (2019YFD0901301)
∗
作者简介: 王永贤 (1994– ), 男, 山东菏泽人, 硕士, 研究方向: 水声信号处理。
† 通信作者 E-mail: sjf@mail.ioa.ac.cn